I obtained a BSc (Hons.) in Mathematics (2003) and a PhD in Mathematics (2007) at the University of Exeter. In 2006 I joined the Cambridge Infectious Diseases Consortium at the University of Cambridge, before becoming a Senior Research Associate in the Disease Dynamics Unit at the Department of Veterinary Medicine. In 2014 I became a Lecturer in Mathematical Biology in the Department of Mathematics at the University of Exeter, before joining the University of Exeter Medical School in 2019, where I am now an Associate Professor.

My research interests are in the development and application of Bayesian methods for modelling complex systems, predominantly infectious disease models. I have worked on a range of methodologies, including Markov chain Monte Carlo, particle filtering, Approximate Bayesian Computation and history matching with emulation. I have applied these techniques to myriad different disease systems, such as foot-and-mouth disease, bovine tuberculosis, HIV, ebola and  COVID-19. More recently I have been working on precision medicine and classification models in diabetes.

I am a Lecturer in Environmental Analytics and Research Ethics Officer (Operations and Analytics) at the University of Exeter Business School. My research spans two fields: sustainable operations management (SOM), including clean energy, sustainability, and climate change mitigation; and data science, focusing on sentiment analysis and sustainability modeling underpinned by AI/ML/OR, with a specialisation in NLP and environmental analytics. I received my doctorate from Macquarie University and completed a fellowship at the City University of Hong Kong. I have published over 50 research publications in major peer-reviewed journals and conferences and have received two best paper awards and a research acknowledgement prize from the IEEE Conference, ANZAM Conference, and the University of Melbourne respectively. I am an editorial board member of journals at MDPI, IGI-Global and Emerald and guest edited a number of special issues in information management and environmental analytics for Emerald and MDPI. Professionally, I hold several key certifications, including ISO 14001 EMS Auditor, ISO 22000 FSMS Auditor, and Certified Carbon Auditor (Energy Institute), in addition to being a Senior Member of the Institute of Electrical and Electronic Engineers (SMIEEE). I contribute to practice as both an environmental consultant and a data scientist.

I studied Pure Maths and Control Theory at Warwick in the early 1980s to Masters level before moving away from Maths and working in the IT Services field on large IT Outsourcing Transactions. I retired in 2018 and became a part time PhD student at Exeter in 2022 researching into Funnel Control and Sampling.

I am an Associate Professor of Data Science and AI at University of Exeter. I recently completed Royal Academy of Engineering Research Fellowship and have a research track record is in medical technology and AI for medicine, over 130 publications. I have held many tenured professorial and senior academic computer science positions within many international universities, completing over 33 research supervisions and many module leaderships as Higher Education Academy (HEA) Fellow. My research collaborations between HEI, NHS and companies have produced commercialisable patented medical devices and medical training simulators, combining AI, virtual reality (VR), computer graphics and physical haptic feedback. My patented diabetes research includes smartphone neuropathy diagnosis and Point of care testing (POCT). I have developed an extensive track record of innovation spin-outs from grants as PI and industry collaborations as medical research software engineer (RSE), also with industry in LogicaCMG.